At a Glance
- Tasks: Lead the design of scalable data pipelines and mentor a team of engineers.
- Company: Fast-growing, tech-driven organisation with a collaborative culture.
- Benefits: Competitive salary, performance bonuses, 100% remote work, and 26 days holiday.
- Other info: Great opportunity for growth and development in a forward-thinking team.
- Why this job: Make a real impact by delivering high-quality data solutions in a dynamic environment.
- Qualifications: Experience in data engineering, AWS expertise, and strong communication skills.
About the Role: We're hiring on behalf of a fast-growing, tech-driven organisation looking for a Lead Data Engineer to take ownership of their data infrastructure. This is a fully remote role open to candidates based anywhere in the UK. You'll lead the design and development of scalable data pipelines, mentor a small team of engineers, and work closely with cross-functional teams to deliver high-impact data solutions.
Key Responsibilities:
- Architect and maintain robust data pipelines using AWS services (Glue, Lambda, S3, Airflow)
- Lead the migration and optimisation of data workflows into Snowflake.
- Collaborate with analysts, data scientists, and product teams to deliver clean, reliable data.
- Define and enforce best practices in data engineering and governance.
- Mentor junior engineers and contribute to a culture of technical excellence.
Requirements:
- Proven experience in a Lead or Senior Data Engineering role
- Strong hands-on expertise with AWS (Glue, Lambda, S3)
- Deep experience with Snowflake as a data warehouse.
- Proficiency in Python or Scala for data processing
- Excellent communication and stakeholder management skills
- Preferably some experience with Terraform and dbt (although these are not essential)
Benefits:
- Competitive salary
- Performance bonus scheme
- 100% remote working (UK only)
- 26 days holiday + Bank holidays + Birthday off
- Opportunity for growth and development
- Collaborative, forward-thinking team culture
Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.
Remote Lead Data Engineer in Swansea employer: Tenth Revolution Group
Join a dynamic and innovative tech-driven organisation that prioritises employee growth and collaboration. As a fully remote employer, we offer a competitive salary, performance bonuses, and a generous holiday allowance, all while fostering a culture of technical excellence and mentorship. This is an exciting opportunity to lead impactful data projects from the comfort of your home in the UK, making a real difference in our data infrastructure.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Lead Data Engineer in Swansea
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a hiring manager.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS and Snowflake. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when designing data pipelines or optimising workflows – it’s all about demonstrating your expertise!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications that way!
We think you need these skills to ace Remote Lead Data Engineer in Swansea
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead Data Engineer role. Highlight your experience with AWS, Snowflake, and any relevant projects that showcase your skills in data engineering. We want to see how you can lead and innovate!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention your leadership experience and how you've successfully collaborated with cross-functional teams in the past. Let us know what excites you about this opportunity!
Showcase Your Technical Skills:Don’t forget to include specific examples of your technical expertise, especially with AWS services and data processing languages like Python or Scala. We love seeing real-world applications of your skills, so share those success stories!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Tenth Revolution Group
✨Know Your Tech Stack
Make sure you’re well-versed in the specific AWS services mentioned in the job description, like Glue, Lambda, and S3. Brush up on your knowledge of Snowflake too, as you'll likely be asked about your experience with these tools during the interview.
✨Showcase Your Leadership Skills
Since this role involves mentoring a small team, be prepared to discuss your leadership style and past experiences. Think of examples where you've successfully guided junior engineers or led projects, and how you foster a culture of technical excellence.
✨Prepare for Collaboration Questions
This position requires working closely with cross-functional teams. Be ready to share examples of how you've collaborated with analysts, data scientists, or product teams in the past. Highlight your communication skills and how you manage stakeholder expectations.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current data challenges, the team dynamics, or how they define success for the Lead Data Engineer position. This shows you're genuinely interested and engaged.
